Propose & verify
Human-in-the-loop workflows
AI proposes. Humans verify and decide.
Workflow design where models do the drafting, retrieval, and first pass, and accountable humans make the calls. We build the queues, review interfaces, escalation rules, and audit trails that make "a human checked this" true instead of aspirational.
Deliverables
- Workflow map showing where judgment enters and exits
- Review queues and verification interfaces
- Escalation rules for low-confidence or high-stakes cases
- Audit trail recording who approved what, and why
- Sampling and quality-assurance procedures
Signs you need this
- A fully automated decision just embarrassed you in front of a customer
- Regulators or clients require accountable human sign-off
- Staff rubber-stamp AI output because review is too slow to do properly
- Errors are caught by customers instead of by your process
Work wanted
Tell us what you are trying to do and we will say whether this is the right notice.
Write to the labOther notices
AI audit
Find out if the AI you already run deserves to stay.
Right-tool consulting
LLM, decision model, classic ML, rules, or a human. We map which.
Local AI implementation
AI that never lets your data leave the building.
Hardware + software
The machines, the GPUs, and the software to run them.
Hybrid architecture design
Every task routed to the cheapest intelligence that can do it well.
AI governance & training
Written rules for using AI, including when not to.